Josh Knapp
503cc6c0cf
Tauri v2 + Svelte + TypeScript frontend:
- App shell with workspace layout (waveform, transcript, speakers, AI chat)
- Placeholder components for all major UI areas
- Typed stores (project, transcript, playback, AI)
- TypeScript interfaces matching the database schema
- Tauri bridge service with typed invoke wrappers
- svelte-check passes with 0 errors
Rust backend:
- Tauri v2 app entry point with command registration
- SQLite database layer (rusqlite with bundled SQLite)
- Full schema: projects, media_files, speakers, segments, words,
ai_outputs, annotations (with indexes)
- Model structs with serde serialization
- CRUD queries for projects, speakers, segments, words
- Segment text editing preserves original text
- Schema versioning for future migrations
- 6 tests passing
- Command stubs for project, transcribe, export, AI, settings, system
- App state management
Python sidecar:
- JSON-line IPC protocol (stdin/stdout)
- Message types: IPCMessage, progress, error, ready
- Handler registry with routing and error handling
- Ping/pong handler for connectivity testing
- Service stubs: transcribe, diarize, pipeline, AI, export
- Provider stubs: local (llama-server), OpenAI, Anthropic, LiteLLM
- Hardware detection stubs
- 14 tests passing, ruff clean
Also adds:
- Testing strategy document (docs/TESTING.md)
- Validation script (scripts/validate.sh)
- Updated .gitignore for Svelte, Rust, Python artifacts
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
"""Main entry point for the Voice to Notes Python sidecar."""
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from __future__ import annotations
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import signal
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import sys
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from voice_to_notes.ipc.handlers import HandlerRegistry, ping_handler
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from voice_to_notes.ipc.messages import ready_message
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from voice_to_notes.ipc.protocol import read_message, write_message
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def create_registry() -> HandlerRegistry:
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"""Set up the message handler registry."""
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registry = HandlerRegistry()
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registry.register("ping", ping_handler)
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# TODO: Register transcribe, diarize, pipeline, ai, export handlers
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return registry
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def main() -> None:
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"""Main loop: read messages from stdin, dispatch to handlers, write responses to stdout."""
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# Handle clean shutdown
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def shutdown(signum: int, frame: object) -> None:
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print("[sidecar] Shutting down...", file=sys.stderr, flush=True)
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sys.exit(0)
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signal.signal(signal.SIGTERM, shutdown)
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signal.signal(signal.SIGINT, shutdown)
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registry = create_registry()
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# Signal to Rust that we're ready
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write_message(ready_message())
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print("[sidecar] Ready and waiting for messages", file=sys.stderr, flush=True)
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# Message loop
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while True:
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msg = read_message()
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if msg is None:
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# EOF — parent closed stdin, time to exit
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print("[sidecar] EOF on stdin, exiting", file=sys.stderr, flush=True)
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break
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response = registry.handle(msg)
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if response is not None:
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write_message(response)
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if __name__ == "__main__":
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main()
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